{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "patch vulnerability", "trigger": true, "arguments": ["patch", "vulnerability", "time", "supported platform", "patch number", "vulnerable system", "releaser", "issues addressed", "common vulnerabilities and exposures"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["discoverer", "common vulnerabilities and exposures", "vulnerable system owner", "supported platform", "vulnerable system version", "vulnerability", "time", "vulnerable system", "capabilities"]}, {"event_type": "data breach", "trigger": true, "arguments": ["damage amount", "time", "place", "victim", "tool", "attack pattern", "number of data", "attacker", "compromised data", "purpose", "number of victim"]}], "input": "The CTU researchers say the job listing appears to have been stolen from a legitimate CFO job listing posted to LinkedIn by a cryptocurrency firm in Asia ."}
{"patch vulnerability": [], "discover vulnerability": [], "data breach": [{"trigger": "have been stolen", "arguments": {"damage amount": "NAN", "time": "NAN", "place": "Asia", "victim": ["LinkedIn", "a cryptocurrency firm"], "tool": "NAN", "attack pattern": "NAN", "number of data": "NAN", "attacker": "NAN", "compromised data": ["the job listing", "a legitimate CFO job listing"], "purpose": "NAN", "number of victim": "NAN"}}]}